Project Manager- AI/ML

Job Summary:

We are looking for an experienced SEO Expert to develop and implement SEO strategies to increase organic traffic and improve search engine rankings for our website. The role involves on-page, off-page, and technical SEO, along with performance analysis and content optimization.

Responsibilities:

• On-Page SEO: Optimize content, meta tags, and internal links for better search engine visibility.
• Off-Page SEO: Build backlinks and enhance external brand presence.
• Technical SEO: Conduct audits, resolve issues, and improve site performance.
• SEO Analysis: Track and report SEO performance using tools like Google Analytics and SEMrush.
• Content Strategy: Work with content teams to ensure SEO-friendly content.
• Stay Updated: Keep up with SEO trends and algorithm changes.

Requirements:

• Proven SEO experience with a focus on increasing organic traffic.
• Proficient in SEO tools (Google Analytics, SEMrush, Ahrefs).
• Strong understanding of search engine algorithms, on-page, off-page, and technical SEO.
• Basic knowledge of HTML/CSS and website optimization.
• Strong analytical, communication, and collaboration skills.

Preferred:

• eCommerce SEO experience.
• SEO certifications (Google Analytics, Google Ads).

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Kotlin, Java
• Important libraries include Dagger, RxJava, Realm
• MVVM Clean Architecture
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications
• A knack for benchmarking and optimization
• Understanding of Google’s Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git

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

CTC Budget: 35-55LPA

Location: Hyderabad (Remote after 3 months WFO)

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

• 6 plus years of experience as a Python developer.
• Experience in web development using Python and Django Framework.
• Experience in Data Analysis and Data Science using Pandas, Numpy and Scifi-Kit - (GTH)
• Experience in developing User Interface using HTML, JavaScript, CSS.
• Experience in server-side templating languages including Jinja 2 and Mako
• Knowledge into Kafka and RabitMQ (GTH)
• Experience into Docker, Git and AWS
• Ability to integrate multiple data sources into a single system.
• Ability to collaborate on projects and work independently when required.
• DB (MySQL, Postgress, SQL)

Selection Process: 2-3 Interview rounds (Tech, VP, Client)

Responsible for end to end ownership of project deliverables and regular interactions with the clients to provide project status updates Work on the estimations for a given project Identify the risks and provide a mitigation plan promptly Responsible for generating reports, invoice and billing People responsibilities include ensuring optimal retention of talent and improving the performance of team members through continuous feedback Timely reporting of the projects to the client and management

Responsibilities include:

• Coordination and completion of projects on time within budget and scope. 
• Oversee all aspects of projects. Set deadlines, assign responsibilities, and monitor, and summarize the progress of the project. 
• Prepare reports for clients and internal stakeholders regarding the status of the project. 
• Work on the estimations for a given project. 
• Identify the risks and provide a mitigation plan promptly. 
• Generation of reports, invoices, and billing. 
• People's Management includes ensuring optimal retention of talent and improving the performance of team members through continuous feedback.
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Experience and Expertise: 

• Overall 7-12 years of experience and at least 4 years of project delivery management experience. 
• Should have worked on SaaS products and have experience in handling a team (at least 10-15). 
• Sound knowledge of SDLC, and quality process with respect to delivery management.
• Experience in Mobile application development and programming knowledge is a plus.
• Good presentation skills, Excellent verbal and written communication skills, and the ability to interact with customers at all levels

• Work independently, good communication and Excel Skills.
• Extensive experience in loading data using SF data loader.
• Expert in SALESFORCE configurations and admin activities
• Integration development experience (REST / SOAP)
• Should be expert in working with flows, process builder, Platform Events and APEX

Roles and Responsibilities

• Review the business requirements
• Prepare solution design
• Develop and test the solution
• Provide technical inputs for project