AI/ML Developer

About Us: Accellor is headquartered in Silicon Valley with offices in London, Hyderabad and Singapore. As a Microsoft Gold Partner and a premier Salesforce Partner, we leverage the best Cloud technology to enhance customer engagement and business efficiency for our clients. Our deep understanding of areas such as Finance, Retail, High Tech, Healthcare, and Retail, enable us to implement salesforce.com and powerful third-party apps for our clients. We also create products that are sold on the AppExchange and used by both small businesses and Fortune 500 companies. The majority of our team is based in Hyderabad, delivering top-notch cloud solutions to clients in the US, UK and APAC region. We have cultivated an atmosphere that nurtures curiosity, continuous learning, and determination. We encourage our employees to grow and pursue their interests. Our environment fosters collaboration, autonomy, and delegation, knowing that our team is motivated and passionate about their work. We are seeking a highly motivated AI/ML Engineer to join our dynamic team. You will be responsible for designing, developing, and deploying innovative AI and machine learning solutions to complicated business problems. You will work with various teams to identify opportunities for AI/ML integration and develop scalable and efficient algorithms. Responsibilities: Design, develop, and implement AI/ML models and algorithms to solve specific business problems. Work with stakeholders to understand business requirements and incorporate AI/ML solutions into production systems and applications. Pre-process, clean, and analyze large datasets to extract useful insights and features for model training. Optimize and refine models for accuracy, performance, and scalability. Stay abreast of the latest research and developments in AI/ML, and incorporate relevant techniques into our 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 mentor 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: 5+ years of relevant experience in data pre-processing, feature engineering, and model evaluation. Bachelor's or 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 the 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 explain technical concepts to both technical and non-technical stakeholders. Strong teamwork and collaboration skills. A 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 an innovative environment where creativity and diverse perspectives are valued. We are committed to pushing the boundaries of technology and delivering solutions that have a meaningful impact. Join our team and be a part of the future with AI and Machine Learning. Benefits: Exciting Projects: We work within industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands that appreciate the solutions we build for them. Collaborative Environment: Expand your skills by collaborating with a diverse team of talented individuals in an open, relaxed environment or even abroad in one of our global centers. Work-Life Balance: 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 Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management programs, professional certifications, and technical and soft skill training. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness programs, extended maternity leave, annual performance bonuses, and referral bonuses. Disclaimer: Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, pregnancy, childbirth, or related medical conditions, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic.