ai ml engineer

HDFC Bank

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   Job Purpose:
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  An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
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   Desired Skills :
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   Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
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   Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
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   Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
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   Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Apache Kafka, Spark)
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   Experience working in cross-functional teams
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   Strong analytical and problem solving skills
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 </ul>
</div>


AI/ML Engineer

Expert System Solution

<p><b>About the Role</b></p><p>We are seeking a <b>Senior AI/ML Engineer</b> with strong technical expertise and <b>exceptional communication skills</b>. The ideal candidate must be a <b>closer, </b>someone who can take ownership, deliver results, and confidently drive AI/ML solutions from concept to deployment.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy end-to-end AI/ML models and data pipelines.</li><li>Build predictive models, NLP solutions, and deep learning architectures.</li><li>Collaborate with cross-functional teams to understand business needs and deliver practical AI solutions.</li><li>Optimize model performance, scalability, and accuracy.</li><li>Conduct research on latest AI trends and implement relevant advancements.</li><li>Present findings, models, and results clearly to technical and non-technical stakeholders.</li><li>Lead critical problem-solving discussions and ensure timely closure of tasks.</li></ul><p><b>Requirements</b></p><ul><li><b>4+ years of hands-on experience</b> in Machine Learning, AI model development, and data engineering.</li><li>Strong expertise in Python, TensorFlow/PyTorch, Scikit-Learn, NLP, Deep Learning, and Cloud (AWS/GCP/Azure).</li><li>Solid understanding of data structures, algorithms, statistical modeling, and MLOps frameworks.</li><li>Proven experience in building production-grade AI solutions.</li><li><b>Exceptional communication skills</b> (must be able to explain complex ideas with clarity).</li><li>A results-driven mindset, <b>must be a closer</b> who takes ownership and delivers.</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with LLMs, Generative AI, and model fine-tuning.</li><li>Experience in API integrations and microservices.</li><li>Exposure to data visualization tools and dashboards.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

10decoders

<div><div><b>Role: AI/ML Engineer</b></div><div><b>
Experience: 6 -7 years</b></div><div><b>
Location: Remote</b></div><div><b>
Notice period: Immediate</b></div><div></div><div><b><br>
JD</b> : Environment Engineer (Contractor)Seeking experienced ML and Software Engineers to develop and optimize reinforcement learning training environments for large language models, emphasizing innovation and rapid iteration.</div><div>
</div><div>Experience: Strong machine learning background through coursework, previous work experience, or personal projects</div><div>
</div><div>Required Skills</div><div>
Python, Machine Learning, Reinforcement Learning, Large Language Models</div><div>
</div><div>Responsibilities</div><div>
</div><ul><li>Design and build tasks for machine learning domains targeting specific language models and difficulty distributions</li><li>Iterate rapidly on task designs based on customer feedback</li><li>Create diverse, challenging scenarios to test language model capabilities and expose limitations</li><li>Deliver high-quality outputs with minimal supervision</li></ul><div>
</div><div>Requirements</div><div>
</div><ul><li>Fluency in Python</li><li>Heavy user experience with large language models</li><li>Self-directed and creative in generating ML task ideas</li><li>High responsibility and integrity in delivering quality work</li><li>Availability for at least 3 hours of overlap with PST 9am-5pm</li></ul></div><div></div>

ServoEdge Technologies

<p><b>JD: AI/ML Engineer</b></p><p><b>Location: Noida(Onsite)</b></p><p><b>Company: Servoedge Technologies pvt ltd.</b></p><p><b>The Role</b></p><p>We are looking for a talented and experienced AI/ML Engineer with 3-6 years of experience to join our team. The ideal candidate will have a strong foundation in machine learning and deep learning, with a proven track record of developing and deploying models for voice and image-based applications. In this role, you will be a key contributor, responsible for the end-to-end lifecycle of our AI models, from research and development to production and maintenance.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy scalable and robust machine learning models for computer vision (e.g., object detection, image classification, segmentation) and speech/audio processing (e.g., ASR, speech enhancement, speaker recognition).</li><li>Conduct research and implement state-of-the-art algorithms and frameworks to improve model performance and efficiency.</li><li>Collaborate with data scientists, product managers, and software engineers to translate business requirements into technical solutions.</li><li>Manage the data pipeline, including data collection, cleaning, annotation, and preprocessing for both voice and image datasets.</li><li>Optimize and fine-tune existing models for performance, latency, and resource efficiency.</li><li>Develop and maintain the MLOps pipeline, ensuring seamless integration of models into production environments.</li><li>Stay up-to-date with the latest advancements in AI, machine learning, and relevant technologies.</li><li>Contribute to the technical vision and strategy of the AI team.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.</li><li>3-6 years of hands-on professional experience as an AI/ML Engineer.</li><li>Strong proficiency in Python and familiarity with core data science libraries such as NumPy, Pandas, and Scikit-learn.</li><li>Extensive experience with deep learning frameworks such as <b>PyTorch</b> and/or <b>TensorFlow</b>.</li><li>Demonstrable experience in building and deploying models for <b>Computer Vision</b> using techniques like CNNs, R-CNNs, YOLO, and frameworks like OpenCV.</li><li>Demonstrable experience in building and deploying models for <b>Speech/Audio Processing</b> using techniques like RNNs, LSTMs, Transformers, and libraries like torchaudio, librosa, or similar.</li><li>Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker).</li><li>Knowledge of MLOps practices, including model serving, monitoring, and pipeline automation.</li><li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with real-time or low-latency AI applications.</li><li>Knowledge of generative AI models (e.g., GANs, Transformers) for voice or image synthesis.</li><li>Experience with edge AI and model optimization for mobile or embedded devices.</li><li>Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.</li><li>Hands-on experience with DevOps practices, including CI/CD pipelines, containerization, and cloud deployment for AI solutions.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;200,000.00 - &#8377;500,000.00 per year</p><p>Application Question(s):</p><ul><li>What is your current CTC?</li><li>What is your expected CTC?</li><li>What is your Notice Period?</li><li>What is your current location?</li><li>Are you an immediate joiner?</li></ul>

<div><div><div><div>India</div>
</div><div><div>Information Technology (IT)
</div></div><div><div>Group Functions
</div></div><div><p><b>Job Reference #</b></p>
<div>325478BR</div>
</div><div><p><b>City</b></p>
<div>Pune</div>
</div><div><p><b>Job Type</b></p>
<div>Full Time
</div></div><div><p><b>Your role</b></p>
<div>Are you passionate about transforming compliance and risk governance through the power of AI and machine learning? Do you want to lead strategic innovation in the GCRG (Group Compliance, Regulatory &amp; Governance) space? We are looking for a visionary and technically strong AI/ML Engineer to:
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Design and Develop the AI/ML strategy across GCRG, aligning with regulatory expectations and business goals.
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Lead the design and implementation of scalable AI/ML solutions for group Compliance
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Champion the adoption of responsible AI practices, ensuring transparency, fairness, and explainability in model development and deployment.
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Collaborate with cross-functional teams including data scientists, engineers, data engineers and business stakeholders to deliver impactful outcomes.
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Stay ahead of emerging trends in AI/ML and regulatory technology, and translate them into actionable innovation roadmaps.</div>
</div><div><p><b>Your team</b></p>
<div>You will be part of a high-impact, cross-disciplinary team within Compliance Technology. Our mission is to build intelligent systems that enhance surveillance, risk detection, and regulatory compliance. We work closely with global stakeholders and leverage cutting-edge AI/ML techniques to solve complex problems in financial markets.</div>
</div><div><p><b>Your expertise</b></p>
<div>6-12 years of experience in technology roles with a strong focus on AI/ML strategy and implementation.
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proven track record of delivering enterprise-grade AI/ML solutions in financial services, preferably in compliance, surveillance, or risk domains.
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strong coding skills in Python is a must.
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good to have a hands-on design and development experience (azure, databricks, spark)
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have Agile, Test Driven Development and DevOps practices part of your DNA
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deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), MLOps practices, and cloud platforms (Azure preferred).
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strong foundation in data science, statistics, and algorithmic modeling.
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hands-on experience with prompt engineering, model context protocol (MCP), and Vibe coding for AI model optimization and orchestration.
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familiarity with regulatory frameworks and compliance requirements in banking and capital markets is good to have
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excellent communication and stakeholder management skills, with the ability to influence at senior levels.
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as collaborative mindset and a passion for mentoring and growing high-performing teams.</div>
</div><div><p><b>About us</b></p>
<div>UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.<br>
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We have a presence in all major financial centers in more than 50 countries.</div>
</div><div><p><b>How we hire</b></p>
<div>We may request you to complete one or more assessments during the application process. Learn more</div>
</div><div><p><b>Contact Details</b></p>
<div>UBS Business Solutions SA<br>
UBS Recruiting</div>
</div><div><p><b>Disclaimer / Policy statements</b></p>
<div>UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.</div></div></div></div><div></div>

Excel Global Solutions

<p>Job Description:</p><p><b>Programming:</b> Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).<b>Machine Learning:</b> Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.<b>Deep Learning:</b> Experience with deep learning frameworks and architectures (e.g., CNNs, RNNs, Transformers).<b>Large Language Models (LLMs):</b></p><ul><li>Experience with LLM architectures and APIs (e.g., GPT, BERT, etc.).</li><li>Demonstrated ability to fine-tune, prompt engineer, and apply LLMs to specific tasks.</li><li>Understanding of the strengths and limitations of current LLMs.</li><li>Experience with experimenting with LLMs.</li></ul><p><b>Data Science:</b> Solid foundation in data analysis, data visualization, and statistical modeling.<b>Database Knowledge:</b> Experience with SQL and NoSQL databases.<b>Cloud Platforms:</b> Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services.<b>Version Control:</b> Proficiency with Git and GitHub.<b>Problem-Solving:</b> Excellent analytical and problem-solving skills.</p><p>Job Type: Full-time</p><p>Pay: &#8377;1,000,000.00 - &#8377;2,200,000.00 per year</p><p>Application Question(s):</p><ul><li>How many years of years of  experience do you have as a python developer?</li></ul><p>a)4 years<br/>b)More than 5 years</p><ul><li>Can you start immediately for this role?</li></ul><p>a)Yes<br/>b)No</p><ul><li>How many years of experience do you have working as AI/ML Engineer?</li></ul><p>a)3 years<br/>b)More than 3 years</p><p>Work Location: Remote</p>

Infotech Global India Ltd

<p><b>Company/Payroll : </b>Infotech Global (India) Pvt Ltd</p><p><b>Client : </b>LTI Mindtree - Fiserv</p><p><b>Job Title : </b>Lead AI ML Engineer</p><p><b>Location : </b>Chennai, TN</p><p><b>Work Mode : </b>100% Onsite</p><p><b>Notice Period : </b>Immediate &ndash; 30 Days</p><p><b>Employment Type</b> <b>:</b> Full-Time with Infotech Global</p><p><b>NOTE: Looking for someone who can join from 1st Week of January 2026, Also this is Full Time position with Infotech Global whereas you will be deployed in Client Location in Chennai and its 100% Work from Office Position</b></p><p>We are seeking a <b>AI/ML Engineer</b> with deep expertise in <b>AI and Machine Learnin</b>g. The ideal candidate will have extensive experience designing, implementing, and optimizing <b>integration solutions</b> leveraging <b>Copilot frameworks</b> (e.g., Microsoft Copilot, GitHub Copilot, or similar AI-driven integration platforms). This individual will collaborate closely with cross-functional teams to build intelligent, automated, and scalable integration systems that enhance financial workflows and decision-making.</p><p><b>Key Responsibilities:</b></p><ul><li>Lead the design, development, and deployment of <b>integration solutions</b> using <b>Copilot tools</b> and <b>AI-driven frameworks</b>.</li><li>Work with <b>financial data systems</b>, ensuring secure and compliant integration between internal and third-party applications.</li><li>Develop and maintain <b>API-based integrations</b>, data pipelines, and automation workflows.</li><li>Leverage <b>AI and Machine Learning models</b> to enhance system intelligence, data analytics, and process automation.</li><li>Collaborate with product owners, data scientists, and engineering teams to align AI/ML capabilities with financial business needs.</li><li>Troubleshoot, optimize, and enhance existing integration frameworks for scalability and performance.</li><li>Mentor junior engineers and promote best practices in AI-powered integration development.</li><li>Ensure compliance with <b>financial regulations</b>, data governance, and security standards.</li></ul><p><b>Required Skills &amp; Experience:</b></p><ul><li><b>8+ years</b> of experience in <b>software integration</b>, system architecture, or data engineering.</li><li>Proven experience with <b>Copilot tools</b> (e.g., Microsoft Copilot, GitHub Copilot, or similar AI-powered integration platforms).</li><li>Strong background in <b>AI/ML frameworks</b> such as TensorFlow, PyTorch, Scikit-learn, or Azure ML.</li><li>Proficiency in <b>Python</b>, <b>Java</b>, or <b>C#</b> for integration and automation development.</li><li>Experience with <b>cloud platforms</b> (AWS, Azure, or GCP) and <b>containerized environments</b> (Docker, Kubernetes).</li><li>Familiarity with <b>API management</b>, <b>ETL tools</b>, and <b>data integration platforms</b>.</li><li>Strong knowledge of <b>data security</b>, <b>compliance</b>, and <b>financial data governance</b> standards.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;3,000,000.00 - &#8377;4,000,000.00 per year</p><p>Ability to commute/relocate:</p><ul><li>Kovilambakkam, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>How many Years of Experience you have with Generative AI/LLM/ RAG</li><li>How many Years of Experience you have with Cloud Technologies like AWS/Azure</li><li>Do you have atleast 8+ Years of Expereince in Data Science and Related Field</li><li>How many Years of Experience you have with API-based integrations</li><li>Can you Join max by 1st Week of January 2026</li></ul><p>Experience:</p><ul><li>Python: 7 years (Required)</li><li>Machine learning: 3 years (Required)</li></ul><p>Work Location: In person</p>

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