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Majority of our team members based at Hyderabad, delivering best of breed cloud solutions to customers in the US, UK and APAC region. We've created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation - we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated - focused on building the perfect solution but never losing sight of the bigger picture.
We are looking for a highly motivated and skilled Senior Machine Learning Engineer to join our dynamic team. As an Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI and machine learning solutions to solve complex business problems. You will collaborate with cross-functional teams to identify opportunities for AI/ML integration and work on developing scalable and efficient algorithms. The ideal candidate should possess a strong background in machine learning, programming, and data analysis, along with a passion for staying up-to-date with the latest advancements in the field of AI.
Responsibilities
Design, develop, and implement AI/ML models and algorithms to solve specific business problems.
Collaborate with stakeholders to understand business requirements that can be addressed using AI and machine learning techniques and to integrate AI/ML solutions into production systems and applications.
Pre-process, clean, and analyse large datasets to extract meaningful insights and features for model training.
Optimize and fine-tune models for accuracy, performance, and scalability
Stay updated with the latest research and advancements in AI/ML, and incorporate relevant techniques into the development process.
Evaluate and test models using appropriate evaluation metrics to ensure their effectiveness and robustness.
Monitor and maintain deployed models, making necessary updates and improvements as needed.
Participate in code reviews, knowledge sharing, and mentoring of junior team members
Document methodologies, experiments, and results clearly and effectively.
Continuously iterate and improve AI/ML solutions based on feedback and real-world performance.
Requirements
Min. 7+ years of relevant experience in data pre-processing, feature engineering, and model evaluation.
Bachelor's/Master's degree in Computer Science Engineering.
Solid understanding of machine learning algorithms, statistics, and data structures.
Proficiency in programming languages such as Python, Java/R and familiarity with libraries like TensorFlow, PyTorch, Scikit-learn, etc.
Strong problem-solving skills and ability to think critically about complex challenges.
Familiarity with cloud platforms and tools (ex: Azure/AWS/GCP) for model deployment and management. Experience in deploying machine learning models in production environments is a plus.
Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
Strong teamwork and collaboration skills.
Continuous learning attitude to keep up with the rapidly evolving AI/ML landscape.
Experience with version control systems like Git and Copilot is a plus.
At Accellor, we foster a collaborative and innovative environment where creativity and diverse perspectives are valued. We are committed to pushing the boundaries of technology and delivering solutions that make a meaningful impact. Join our team and be part of shaping the future with AI and Machine learning.
Benefits
Exciting Projec ts: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environme nt: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balanc e: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Developme nt: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benef its: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
