Technical Manager

Job Description for Project Manager:

• Exposure to US/International Client (Preferred) Prior Experience in Digital Marketing (Search Engine Optimization) / Project Coordinator / Project Manager roles.
• Excellent written and verbal communication and presentation skills, able to generate interest and engage the client during calls and on emails.
• Manage projects, establish productive, professional, and profitable relationships with key personnel and clients in assigned projects.
• Coordinate with various departments within the organization, including support, service, technology, and manage resources, in order to ensure seamless functioning of the client accounts.
• Responsible for client receivables; planning and execution of monthly retention.
• Candidates with Project Management, Digital Marketing & Technical Skills Preferred.
• Document all requests and comments made by clients to ensure timely feedback and follow-up actions of client escalations/queries.
• Ability to maintain a positive, motivational, 'get things done' attitude, especially when faced with difficult circumstances.
• Achieves strategic customer objectives and account plans defined by company management.
• Good relationship-building skills (internal, external, and cross-cultural).
• Sound computer skills, especially in the areas of MS Word, MS Excel, and MS PowerPoint.
• Lead solution development efforts that best address customer needs, while coordinating the involvement of all necessary actions required and always keep the internal team updated.
• Maintain a consistent schedule of online meetings with the client to manage performance objectives, customer-expectations and assess customer needs on an ongoing basis.

What we are looking for-

• Excellent communication skills
• Must have enthusiasm and a sincere attitude.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

• Oracle HCM Techno-Functional Consultant, core HR, Payroll, Fast Formula, OTL and SSHR, Oracle HCM Cloud advanced tools (HCM Extracts, HDL, PBL,
  BI Publisher, OTBI, Application Security, Page Composer, Page Configurator, REST APIs, SOAP, Webservices)

• Defining, implementing and executing regression and stress automation tests focused on embedded software and device firmware level
• Analyzing automation test results for failures, identifying issue trends, and quantifying impact
• Isolating and reporting defects effectively quantifying customer impact, and verifying fixes through regression testing and other test methodologies
• Working cross-functionally with other QA teams, Developers and Project Managers

Desired Candidate Profile

• BE– CS/ ECE, MS, ME, MTech
• 2+ years of QA experience, preferably on consumer hardware/software products
• Automation experience in modern scripting or compiled languages (Python, JavaScript, C, etc.)
• Knowledge of Unix and Unix shell scripting
• Ability to communicate technical concepts to a non-technical audience
• Deep understanding of SQA methodologies & practices
• Ability to solve hard problems with creative and sustainable solutions
• Experience with hardware and/or software development lifecycle processes
• Self-motivation with the ability to drive features to delivery
• Strong hands on experience in developing applications
• Strong analytical and problem-solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills, and the ability to learn new technologies quickly