4,167 AI Ml Engineer 2 Years Immediate jobs in India

About Pro-Manage

Pro-Manage is a pioneering tech- and AI-based Marketing-as-a-Service platform developed to serve multi-location enterprise clients increase, manage and measure digital engagement opportunities with prospects and customers, leveraging several valuable business and technology partnerships with global leaders such as Google GMB/Chat, Microsoft Bing, Meta WhatsApp/Instagram, Knowlarity Cloud telephony and others. Pro-Manage is a powerful and sophisticated marketing SaaS platform that has attracted highly regarded brands as its clients:

Indian Oil, Shriram Finance, Apollo Pharmacy, Naturals, Sterling Resorts, Muthoot Finance, Aadhaar Housing Finance, Shriram Transport Finance, City Union Bank, O2 Spa, Page 3 Salons, Urban Nomads, CADD Centre and more. ProManage is developed using advanced technologies, design thinking, continuous discovery, agile development and product management methodologies. The cross-functional Pro-Manage team uses integrated customer-centric product-led marketing and growth paradigms designed to attract and retain targeted customers, maximizing life-time value and minimizing customer acquisition efforts and costs. Pro-Manage is developed and offered by Sulekha, one of India’s largest digital business and consumer brands that has transformed local services ecosystem through a AI-based need fulfillment and monetization platform that generates millions of qualified, parameterized service requests to local service SMBs every day in 40 cities. Pro-Manage aspires to be the dominant, industry-leading and technologically the most sophisticated marketing SaaS platform in India with 500+ enterprise customers in the next two years. Pro-Manage and Sulekha have three of the most well-regarded firms as its investors:

Norwest Venture Partners (Palo Alto, US), Mitsui (Tokyo), and GIC (sovereign wealth fund of Singapore).

Roles & responsibilities:

• Design, Architect, and Develop software solutions based on suitable design patterns.
• Adopt new and emerging technologies to provide solutions.
• Collaborate with cross-functional teams to understand business requirements and translate them into machine learning problems.
• Work alongside data scientists and software engineers to integrate machine learning models into production systems.
• Identify technical issues and provide resolution.
• Design, develop, and implement machine learning models for various business applications, including predictive analytics, recommendation systems, natural language processing, and computer vision.
• Stay up to date with the latest advancements in AI and machine learning techniques.
• Ensure that machine learning pipelines and systems are scalable, efficient, and robust.
• Excellent communication and interpersonal skills.

Qualifications

• BE / Master’s in computer science or any degree.

Critical Skills

• Proven experience as a Machine Learning Engineer, AI Engineer, or similar role (typically 2+ years).
• Experience writing software in Python, Scala, R, or similar.
• Familiarity with cloud platforms like AWS, Google Cloud or Microsoft Azure for deploying models at scale.
• Solid understanding of machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning, etc.).
• Experience with data structures, algorithms, and software design.
• Experience in using any LLM models in real-time projects.
• Proven ability to work as part of cross-functional delivery teams in an Agile delivery environment.
• Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience.
• Strong problem-solving skills with the ability to think critically and creatively.
• Ability to break down complex business problems into machine learning solutions.

Desired skills

• Experience with machine learning libraries and frameworks.
• Expertise in data manipulation and analysis.
• Experience with big data technologies.
• STS (Speech to Text & Text to Speech) #ASR (Automated Speech Recognition) Engine Exposure.
• Great OOPS skills, including strong design patterns knowledge.
• Familiarity with relational databases, NoSQL.
• Out-of-the-box thinking, and in-depth problem-solving.

Personal skills

• Result- and outcome-orientation
• High degree of enthusiasm, dynamism, and drive to succeed
• Capacity for hard work and perseverance
• Maturity to collaborate with peers to achieve overall success
• Capability to nurture and motivate direct reports to high success

We are looking for an AI/ML Engineer to join our growing team focused on cutting-edge research and development in artificial intelligence and machine learning. As an AI/ML Engineer, you will be responsible for developing and deploying AI models, collaborating on advanced research projects, and providing insights to improve AI-driven solutions.

• Design, develop, and deploy machine learning models, focusing on both supervised and unsupervised learning.
• Collaborate with research teams to explore innovative approaches to AI/ML solutions, with a focus on enhancing research outcomes.
• Implement advanced algorithms and models for various applications, such as natural language processing (NLP), computer vision, and reinforcement learning.
• Contribute to the research and development of new AI techniques and strategies.
• Work with large datasets, performing data cleaning, preprocessing, and exploratory data analysis (EDA).
• Optimize models for efficiency and scalability, and ensure their effective deployment.
• Participate in literature reviews, keep track of the latest advancements in AI/ML, and suggest improvements based on current research.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and platforms.
• Write detailed reports and research papers for publications in top-tier conferences and journals.
• Provide mentorship and guidance to junior AI/ML engineers and researchers.

• Mandatory: A Bachelor's or Master's degree in Engineering (Computer Science, Data Science, AI, or related fields).
• Proven experience in AI/ML research, with a strong understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and data science tools.
• Solid programming skills in Python, R, or similar languages, with a deep understanding of libraries like NumPy, pandas, scikit-learn, and Keras.
• Experience in implementing machine learning algorithms for real-world problems in NLP, computer vision, or related fields.
• Strong understanding of model evaluation techniques and performance metrics.
• Familiarity with cloud computing platforms (AWS, GCP, Azure) and tools for machine learning model deployment.
• Ability to write research papers, technical documentation, and present findings to internal teams and academic audiences.
• Excellent communication skills and the ability to work in a collaborative, interdisciplinary research environment.

• Experience with reinforcement learning and generative models.
• Understanding of graph theory, optimization algorithms, and Bayesian inference.
• Familiarity with distributed computing frameworks like Apache Spark or TensorFlow on Kubernetes.
• Experience with version control systems like Git.
• A strong publication record in AI/ML conferences and journals.

• Competitive salary and benefits package (₹4,00,000 - ₹600,000 CTC).
• Opportunities for professional growth and development in AI/ML research.
• Collaborative work environment focused on groundbreaking research.

Job Description:

We are hiring an AI/ML Engineer to turn data into actionable insights through predictive models and automation. Strong understanding of machine learning algorithms and production-level deployment required.

Required Skills & Qualifications:

• 5+ years of experience in AI/ML engineering, particularly within Azure Cloud and AI ecosystems.
• Strong hands-on expertise with OpenAI models, including knowledge of training, distillation, and model internals.
• Proficiency in Python, and experience with frameworks such as LangChain, FastAPI, or similar.
• Experience designing multi-threaded and concurrent systems optimized for performance and rate-limit constraints.
• Deep understanding of agent-based architectures, autonomous workflows, and orchestration techniques.
• Solid experience with PostgreSQL (PSQL) and SQL for building complex queries, performance tuning, and managing structured datasets.
• Familiarity with RAG, embedding-based retrieval, and vector databases.
• Understanding of LLM tokenization, rate limits, and optimization strategies for throughput and cost control.

Responsibilities:

• Develop and deploy AI-driven applications leveraging Azure AI and OpenAI models.
• ⁠Design multi-threaded and parallel processing systems that operate efficiently within rate-limited API environments.
• ⁠uild intelligent agent-based AI architectures capable of dynamic reasoning and task automation.
• tegrate and manage PostgreSQL (PSQL) and other SQL-based systems for structured data access, transformation, and analysis.
• rform data engineering tasks including data ingestion, transformation, and feature extraction for AI models.
• timize prompt workflows and token usage for LLM interaction, using tools like LangChain, FastAPI, and Azure OpenAI.
• plement LLM-driven pipelines including RAG (retrieval-augmented generation), prompt chaining, and model evaluation.
• llaborate with DevOps and cloud engineers to ensure secure, scalable, and efficient deployment of AI services on Azure.
• ntribute to improving model performance via prompt design, fine-tuning, or integration with external data sources.

Job Description-

ML Engineer:

• Strong experience of at-least 2-3 years in Python.
• 2 + years' experience of working on feature/data pipelines and feature stores using Py-Spark.
• Exposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc.
• Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practice.
• Knowledge on Docker and Kubernetes.
• Experience with orchestration/scheduling tools like Argo.
• Experience building and consuming data from REST APIs.
• Demonstrable ability to think outside of the box and not be dependent on readily available tools.
• Excellent communication, presentation and interpersonal skills are a must.

Py-Spark AWS Engineer:

• Good hands-on experience of python and Bash Scripts.
• 4+ years of good hands-on exposure with Big Data technologies – Pyspark (Data frame and Spark SQL), Hadoop, and Hive
• Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. Glue, EMR, RedShift, S3, Kinesis)
• Ability to write Glue jobs and utilise the different core functionalities of Glue.
• Good understanding of SQL and data warehouse tools like (Redshift).
• Experience with orchestration/scheduling tools like Airflow.
• Strong analytical, problem-solving, data analysis and research skills.
• Demonstrable ability to think outside of the box and not be dependent on readily available tools.
• Excellent communication, presentation and interpersonal skills are a must.

Roles & Responsibilities-

• Collaborate with data engineers & architects to implement and deploy scalable solutions.
• Provide technical guidance and code review of the deliverables.
• Play active role in estimation and planning.
• Communicate results to diverse technical and non-technical audiences.
• Generate actionable insights for business improvements.
• Ability to understand business requirements.
• Use case derivation and solution creation from structured/unstructured data.
• Actively drive a culture of knowledge-building and sharing within the team
• Encourage continuous innovation and out-of-the-box thinking.

Good To Have:

ML Engineer:

• Experience researching and applying large language and Generative AI models.
• Experience with Langchain, LLAMA Index, and Performance Evaluation frameworks.
• Experience working with model registry, model deployment & monitoring tools.
• ML-Flow / App. Monitoring tools.

Py-Spark AWS Engineer:

• Experience in migrating workload from on-premises to cloud and cloud to cloud migrations.
• Experience with Data quality frameworks.

EcoRatings: A GenAI Solution for Sustainability

EcoRatings is led by experienced founders with a successful exit record, empowering enterprises, governments, and Web3 infrastructures to meet sustainability goals using enterprise-grade Generative AI and Blockchain technologies. The company leverages its fine-tuned open-source foundation model, Sustaining.AI, which functions as an ESG expert via chat and underpins a Retrieval Augmented Generation (RAG) architecture for processing sustainability data and automating carbon measurement, reporting, and validation tasks.

Position: AI/ML Engineer

We are seeking a talented and motivated AI/ML Engineer to join our team. This full-time position, based in our Noida office, focuses on developing and deploying our proprietary AI/ML algorithms for sustainability assessment.

Responsibilities:

• Develop, implement, and deploy software applications, datasets, and deep learning models.
• Fine-tune large language models for specific tasks.
• Collaborate closely with team members on integrating Generative AI solutions.
• Ensure application performance, quality, and responsiveness.
• Identify and resolve technical issues and bugs.
• Maintain code quality, organization, and automation.

Qualifications:

• Minimum Qualification: BTech/MTech in Computer Science, Artificial Intelligence, or related fields.
• 0 to 2 years of relevant software development experience.
• Proficiency in Generative AI and Deep Learning, with a strong focus on the Transformer Architecture.
• Ability to write clean, efficient, and maintainable code.
• Understanding of software engineering best practices and agile methodologies.
• Strong analytical, problem-solving, and communication skills.
• Preferred: Prior experience in the development of Agentic Workflows will be considered a plus.

Industry: IT Services and IT Consulting

Employment Type: Full-time

Role Overview:

We are seeking an experienced Voice Agent Developer with a strong background in Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech (TTS), and Speech Recognition. The successful candidate will be responsible for designing, developing, and deploying a high-performance voice agent system. You will work closely with our frontend team to ensure seamless integration and exceptional user experience.

⸻

Key Responsibilities:

• Design and develop an intelligent voice agent using LLMs (such as OpenAI, GPT, or similar models).

• Integrate Text-to-Speech (TTS) using Eleven Labs or other advanced TTS systems.

• Implement Speech Recognition using Whisper API or other leading ASR (Automatic Speech Recognition) technologies.

• Develop real-time voice interaction logic with user-friendly voice input and output.

• Optimize voice agent performance for low-latency, high-accuracy interactions.

• Implement context management to maintain coherent user conversations.

• Work closely with the frontend development team to integrate the voice agent with a user-friendly interface.

• Ensure robust error handling and fallback mechanisms for voice interactions.

• Conduct extensive testing for voice quality, response accuracy, and latency.

• Stay up-to-date with the latest advancements in NLP, LLMs, and speech technologies.

⸻

Required Skills and Qualifications:

• Proven experience in building voice agents or voice-based applications using LLMs.

• Proficiency in Python, Node.js, or a similar programming language for backend development.

• Strong understanding of Natural Language Processing (NLP) and Natural Language Understanding (NLU).

• Hands-on experience with LLMs (OpenAI GPT, GPT-4, GPT-4-turbo, or similar).

• Expertise in Text-to-Speech (TTS) systems (e.g., Eleven Labs, Google TTS).

• Proficiency with Speech Recognition APIs (e.g., Whisper, Google Speech API).

• Experience in deploying and scaling voice agents on cloud platforms (AWS, GCP, Azure).

• Familiarity with WebSocket, RESTful APIs, and real-time communication protocols.

• Strong problem-solving and debugging skills.

• Excellent communication and teamwork skills.

⸻

Preferred Qualifications:

• Experience with real-time voice interaction applications.

• Familiarity with voice modulation and voice character customization.

• Previous experience with voice-based customer support systems.

• Knowledge of Docker, Kubernetes, and cloud-based deployment.

About PieLabs

PieLabs is at the forefront of revolutionizing app testing with our autonomous system, Pie. Leveraging GenAI, Pie tests applications end-to-end by interacting with them just like real users would. Pie replicates the capabilities of an experienced testing team but with the speed and efficiency of automated e2e testing, eliminating the need for manual test plan maintenance. As our clients' applications evolve, Pie adapts, ensuring continuous and comprehensive coverage.

We're seeking an AI/ML Engineer with expertise in Large Language Models (LLMs) to enhance our AI-driven system. You'll be working in a collaborative environment that values innovation and enables you to explore new ways to leverage AI in transforming app quality assurance.

Role Overview

As an AI/ML Engineer, you will focus on developing and optimizing LLM-driven solutions within our autonomous testing platform. You'll be responsible for benchmarking, fine-tuning, and deploying LLM models, ensuring they adapt effectively to user interactions and complex workflows. Collaborating closely with our product and engineering teams, you'll play a pivotal role in ensuring Pie remains at the cutting edge of AI-based testing.

Key Responsibilities

• Design, build, and deploy LLM-based models to enhance Pie's autonomous testing capabilities.
• Benchmark and fine-tune models to improve performance, reduce latency, and ensure accuracy.
• Develop methods to continuously train and adapt models as client applications evolve.
• Conduct performance analysis on AI models, refining them based on user interactions and testing scenarios.
• Collaborate with the engineering team to integrate AI/ML solutions seamlessly into our tech stack.
• Stay updated with the latest advancements in AI/ML, particularly LLMs, and apply relevant innovations to our platform.
• Implement tools and processes for model monitoring, performance tracking, and anomaly detection.

Requirements

• Proven experience (3+ years) as an AI/ML Engineer, with a focus on LLMs and natural language processing.
• Proficiency in model benchmarking, fine-tuning, and optimization of large-scale AI models.
• Experience working with ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Strong understanding of NLP and GenAI methodologies, with a record of applying them to practical applications.
• Familiarity with model deployment in cloud environments (e.g., AWS, GCP, or Azure).
• Excellent coding skills in Python or Go, with a focus on writing efficient, clean, and scalable code.
• Experience in data management, including preprocessing, feature engineering, and dataset curation.
• Familiarity with evaluation metrics and methods for LLMs, including techniques for model improvement.
• Strong analytical and problem-solving skills, with the ability to work collaboratively in a remote setting.

Nice-to-Haves

• Experience with model interpretability and explainability.
• Familiarity with Reinforcement Learning from Human Feedback (RLHF).
• Knowledge of MLOps tools and practices for model lifecycle management.
• Prior experience in automated testing, quality assurance, or similar domains.

Benefits

• Competitive salary and equity package.
• Flexible working hours and remote work setup.
• Opportunities for professional growth in a collaborative environment focused on cutting-edge technology.
• Access to learning resources, conferences, and workshops.

Join Us

If you're passionate about AI and eager to shape the future of quality assurance through autonomous systems, we'd love to hear from you. Apply by replying to this post or sending your resume and a brief introduction to

PieLabs Inc. is an equal-opportunity employer.